The obvious wrong segmentation in the existing two-dimensional histogram vertical segmentation method was pointed out. A new two-dimensional histogram oblique segmentation method was proposed

in which the histogram was divided into inner

edge and noise parts by four paralleled oblique lines. The image was thresholded by the oblique line which was perpendicular to the main diagonal. Then the formulae and its fast recurring algorithm of the two-dimensional histogram oblique segmentation method were deduced. Finally

the thresholded images and processing time were given in the experimental result and analysis

which were compared with those of Otsu fast algorithms. The results show that the two-dimensional histogram oblique segmentation could be used in nearly all the two-dimensional histogram thresholding. It makes the inner part uniform

the edge accurate in the thresholded image and has better tolerance capability to noise. At the same time the running time is significantly reduced.